Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive perks and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

We are looking for experienced AI/Python Developers with 7-9 years of overall professional experience to support time-critical AI-driven, cloud-native initiatives across Talent Acquisition and Provider Services. The role requires hands-on expertise in.NET, Python, SQL, Azure or GCP, LLM-based frameworks, Generative AI, Agentic AI, RAG-based architectures, cognitive services, and scalable system design. The resources will be responsible for designing, developing, testing, deploying, and maintaining enterprise-grade AI solutions that reduce manual dependencies, improve data accuracy, remediate high-volume transaction failures, and deliver measurable hard savings for the business. - Primary Responsibilities :

- Build, integrate, test, and deploy GenAI, Agentic AI, LLM, and RAG-based solutions for enterprise use cases across Talent Acquisition and Provider Services
- Create and maintain automation frameworks, validation engines, data extraction capabilities, and autonomous remediation workflows to reduce manual effort and improve operational accuracy
- Collaborate with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable, secure, production-ready technical solutions
- Ensure code quality,



CI/CD readiness, testing coverage, documentation, monitoring, and compliance with enterprise engineering, AI governance, and delivery standards
- Development skills - As an AI Builder create Code for the project along with other development resources
- Accelerated Delivery: Enables faster development and deployment of high-impact AI solutions aligned to enterprise priorities
- Technical Excellence: Ensures architectural integrity, code quality, and scalable system design
- Risk Mitigation: Reduces delivery delays and operational risk through proven engineering practices
- Future-Ready Operations: Supports long-term maintainability, compliance, and audit readiness
- Documentation and Reporting - create project relevant documents and reports for leadership updates
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications :





- 2+ years of hands-on experience delivering AI, Agentic AI, LLM-based, GenAI, or RAG-based projects in a production or enterprise environment

- Solid experience with Azure and/or GCP cloud platforms, including cloud-native design, deployment, integration, and operational support.

- Experience with AI productivity and engineering tools such as GitHub Copilot, Microsoft 365 Copilot, Codex, Claude, and Visual Studio Code-based AI-assisted development

- Hands-on knowledge of LLM-based frameworks, Agentic frameworks such as LangGraph, LangChain or CrewAI, and exposure to MCP-based patterns

- Good understanding of RAG patterns, embeddings, vector databases, semantic search, Azure AI Search, Chroma DB, MongoDB, cognitive services, NLP, and knowledge retrieval capabilities

- Proven solid engineering fundamentals including APIs, microservices, scalable system design, testing, debugging, documentation, and secure development practices - Preferred Qualifications :

- Experience with GitHub, source control, CI/CD pipelines, release management, and DevOps-enabled delivery practices

- Experience in the healthcare domain is preferred; claims process knowledge and provider services experience are highly recommended

- Experience working with US-based customers, distributed teams, and enterprise stakeholders

- Exposure to Agile delivery methodology, sprint-based execution, backlog refinement, demos, and iterative delivery

- Proven good communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders

- Proven exposure to Gemini, Databricks, Azure OpenAI, Vertex AI, responsible AI practices, AI governance controls, and production guardrails **- AI Skills and

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